Yue Dong

1.7k total citations
47 papers, 868 citations indexed

About

Yue Dong is a scholar working on Artificial Intelligence, Molecular Biology and Cancer Research. According to data from OpenAlex, Yue Dong has authored 47 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 16 papers in Molecular Biology and 11 papers in Cancer Research. Recurrent topics in Yue Dong's work include Topic Modeling (15 papers), Natural Language Processing Techniques (11 papers) and MicroRNA in disease regulation (10 papers). Yue Dong is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (11 papers) and MicroRNA in disease regulation (10 papers). Yue Dong collaborates with scholars based in United States, China and Canada. Yue Dong's co-authors include Jackie Chi Kit Cheung, Yufei Huang, Hui Liu, Meng Cao, Yidong Chen, Jiapeng Wu, Herke van Hoof, Eric Crawford, Yikang Shen and Shou‐Jiang Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors and Actuators B Chemical.

In The Last Decade

Yue Dong

38 papers receiving 830 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yue Dong United States 15 495 299 247 63 41 47 868
Zhongxiao Li Saudi Arabia 11 181 0.4× 401 1.3× 76 0.3× 62 1.0× 23 0.6× 18 822
Hai-Son Le United States 10 194 0.4× 191 0.6× 83 0.3× 26 0.4× 23 0.6× 18 429
Yongxian Fan China 15 189 0.4× 395 1.3× 173 0.7× 117 1.9× 11 0.3× 37 708
Xuequn Shang China 10 130 0.3× 225 0.8× 64 0.3× 28 0.4× 19 0.5× 51 398
Shikhar Sharma United States 16 197 0.4× 811 2.7× 142 0.6× 62 1.0× 31 0.8× 28 1.2k
Muhammad Tahir Pakistan 21 202 0.4× 1.0k 3.5× 105 0.4× 47 0.7× 9 0.2× 46 1.5k
Cenk Sahinalp Canada 8 149 0.3× 256 0.9× 58 0.2× 42 0.7× 10 0.2× 12 503
Brandon Malone United States 13 168 0.3× 291 1.0× 55 0.2× 33 0.5× 16 0.4× 29 605

Countries citing papers authored by Yue Dong

Since Specialization
Citations

This map shows the geographic impact of Yue Dong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yue Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Dong more than expected).

Fields of papers citing papers by Yue Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yue Dong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yue Dong. The network helps show where Yue Dong may publish in the future.

Co-authorship network of co-authors of Yue Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Dong. A scholar is included among the top collaborators of Yue Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yue Dong. Yue Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mahbub, Parvez, et al.. (2025). BiRNA-BERT allows efficient RNA language modeling with adaptive tokenization. Communications Biology. 8(1). 1621–1621.
2.
Cai, Ziyun, Yawen Huang, Tengfei Zhang, Yefeng Zheng, & Yue Dong. (2025). Multi-Source Domain Adaptation by Causal-Guided Adaptive Multimodal Diffusion Networks. International Journal of Computer Vision. 133(7). 4623–4645. 2 indexed citations
3.
Zhang, Xiang, et al.. (2025). HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models. 21226–21243. 1 indexed citations
4.
5.
Dong, Yue, et al.. (2024). Serum proteome profiling of plateau acclimatization in men using Olink proteomics approach. Physiological Reports. 12(24). e70091–e70091. 1 indexed citations
6.
Yu, Lei, et al.. (2024). Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations. 7943–7956. 2 indexed citations
7.
Xiong, Deyi, et al.. (2024). Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18003–18011. 6 indexed citations
8.
Rashid, Muhammad Mahbubur, et al.. (2024). EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models. 13049–13063.
9.
Cao, Meng, et al.. (2022). Learning with Rejection for Abstractive Text Summarization. 9768–9780. 8 indexed citations
10.
Cao, Meng, Yue Dong, & Jackie Chi Kit Cheung. (2022). Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3340–3354. 41 indexed citations
11.
Dong, Yue, et al.. (2020). Research Progress on the Anti-Cancer Molecular Mechanisms of Huaier. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Cao, Meng, Yue Dong, Jiapeng Wu, & Jackie Chi Kit Cheung. (2020). Factual Error Correction for Abstractive Summarization Models. 6251–6258. 82 indexed citations
13.
Dong, Yue, Shuohang Wang, Zhe Gan, et al.. (2020). Multi-Fact Correction in Abstractive Text Summarization. 9320–9331. 66 indexed citations
14.
Sánchez-Díaz, Patricia C., Tzu-Hung Hsiao, Judy C. Chang, et al.. (2013). De-Regulated MicroRNAs in Pediatric Cancer Stem Cells Target Pathways Involved in Cell Proliferation, Cell Cycle and Development. PLoS ONE. 8(4). e61622–e61622. 46 indexed citations
15.
Dong, Yue, Maozu Guo, Yidong Chen, & Yufei Huang. (2012). A Bayesian decision fusion approach for microRNA target prediction. BMC Genomics. 13(S8). S13–S13. 19 indexed citations
16.
Liu, Hui, Yue Dong, Yidong Chen, Shou‐Jiang Gao, & Yufei Huang. (2010). Improving performance of mammalian microRNA target prediction. BMC Bioinformatics. 11(1). 476–476. 81 indexed citations
17.
Liu, Hui, Yue Dong, Lin Zhang, et al.. (2010). A Bayesian approach for identifying miRNA targets by combining sequence prediction and gene expression profiling. BMC Genomics. 11(S3). S12–S12. 15 indexed citations
18.
Dong, Yue, Hui Liu, & Yufei Huang. (2009). Survey of Computational Algorithms for MicroRNA Target Prediction. Current Genomics. 10(7). 478–492. 134 indexed citations
19.
Wang, Jiaping, Yue Dong, Xin Tong, Zhouchen Lin, & Baining Guo. (2009). Kernel Nyström method for light transport. 1–10. 19 indexed citations
20.
Liu, Hui, Yue Dong, Lin Zhang, Shou‐Jiang Gao, & Yufei Huang. (2008). A machine learning approach for miRNA target prediction. PubMed. 2008. 1–3. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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